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Hire the Top 7% of Vetted Agencies in Python

Engage vendors to complete a project or augment an existing team. The process is free, simple and you'll be reviewing proposals in 72 hours

EMPOWERING THE STARTUP ECOSYSTEM

HIRE Python VENDORS

Why Founders, CEOs and CTOs love Pangea.ai


Talent quality

Rigorous vetting to select top 7%

Speed

Hire, or augment a team in 72h

Flexibility

Scale up and down, on-demand

Guide to hiring great Python vendors


Python has remained one of the world’s most popular and productive programming languages for over the past decade. Easy to learn, highly efficient, and wel...

"Our engagement with Pangea.ai has significantly helped us improve the delivery quality of our innovations."

Pete Becker

Innovation Product Management Lead

"We worked with the Pangea.ai team to identify a mobile engineering partner to help with our iHeartRadio for auto roadmap."

Tom Drapeau

VP Engineering

"Working with Pangea.ai was great. They made sense out of a complicated and fragmented market and we were able to find a good fit for our needs."

Cordel Robbin-Coker

Co-Founder and CEO

"Pangea.ai helped us with their very clear and structured selection process to find our perfect partners for our product in just a few steps."

Reiner Neusser

CEO

Why Founders, CEOs and CTOs love Pangea.ai


Talent quality

Rigorous vetting to select top 7%

Speed

Hire, or augment a team in 72h

Flexibility

Scale up and down, on-demand

"Our engagement with Pangea.ai has significantly helped us improve the delivery quality of our innovations."

Pete Becker

Innovation Product Management Lead

"We worked with the Pangea.ai team to identify a mobile engineering partner to help with our iHeartRadio for auto roadmap."

Tom Drapeau

VP Engineering

"Working with Pangea.ai was great. They made sense out of a complicated and fragmented market and we were able to find a good fit for our needs."

Cordel Robbin-Coker

Co-Founder and CEO

"Pangea.ai helped us with their very clear and structured selection process to find our perfect partners for our product in just a few steps."

Reiner Neusser

CEO

"Pangea.ai connected us to various experts around the world."

Ayne Santiago

Senior Lead Software Engineer

"The team at Pangea.ai helped us meet and engage with a high quality shortlist enabling us to spend our time building a relationship."

Phillip Mundy

Founder

"Pangea.ai is a wonderful partner for any early stage startups like us who are eager for top engineers to accelerate our product roadmap."

Jeff Hu

Founding Engineer

"Pangea.ai offers a fantastic service for high growth businesses such as ourselves. Their expertise saved us a significant amount of time and risk."

Paul Skidmore

Product Lead

"Working with Pangea.ai was an awesome and pleasant experience. We got exactly what we wanted and more."

Javy Olives

Enterprise Product Head

"The Pangea.ai team is professional and effective. Pangea's offering of top talent delivers."

Raymond Spoljaric

CEO

Guide to hiring great Python vendors


Python has remained one of the world’s most popular and productive programming languages for over the past decade. Easy to learn, highly efficient, and wel...

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OUR MATCHING PROCESS

We match you to the right team.

Not all agencies are right for all jobs.

We partner with you to fully understand your needs and key criteria, then we match you to the agencies in our community we think will be a perfect fit.

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Whether you're just browsing or have a full set of specs prepared -- our simple, streamlined, and dynamic briefing process ensures we capture and understand your critical needs. And if you’re ever stuck or need help, our team is standing by to support you.

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Matching Choice Step 1

FAQs

To select the top percentile of Python agencies, our proprietary due diligence consists of a rigorous 5-step process: pre-qualification, organizational mapping, client reviews, team health assessment, and acceptance. Only the top 7% of agencies complete the process successfully. Once accepted, ongoing efforts to ensure continued excellence and standing within the community begin. This is achieved by consistently demonstrating excellence in their work and continued commitment to due diligence efforts by Pangea.ai.

Once you share your requirements, the brief is shared with our community of 150+ agencies (without any personal identifiable information). Said agencies have 48 hours to apply to your brief, and you can access each brief on our platform. Using a combination of AI and human expertise, our system matches and connects you with the 3 most suitable Python agencies from the application pool. As a result, we can always guarantee delivery within 72 hours—ensuring the most efficient process for connecting with the right agencies for any requirements.

When matching fully-managed agency teams, we prioritize their expertise in the following order: 

  1. Product Domain: What is being built? 
  2. Industry: What industry is it being built in? 
  3. Services: What are the services required? 
  4. Roles: What is the ideal team structure? 
  5. Tech Stack: What technology is required? 

When matching for a specific agency role, we prioritize talent expertise in the following order: 

  1. Roles: Who is being hired? 
  2. Tech Stack: Which technology is required for the role? 
  3. Product Domain: Is domain know-how required for the role? 
  4. Industry: Is industry know-how required for the role? 
  5. Services: Does the role have to provide any services? 

Additionally, we consider rates and location preference, budget indication, kick-off timeline, and other relevant factors to curate the best-match agencies for both engagement models.

Countries such as Uruguay, Brazil, Poland, Crotia, Portugal, Poland, and similar are home to high-quality talent clusters in software development. The vetted agency community at Pangea.ai reflects said notion, with our agency partners being located in Latin America and Europe. The rates depend on location, country, skills, and seniority required, but the average hourly rate is between €40-80 which is an average daily rate of €320-640.

Pangea.ai is a free service for businesses as we are compensated an annual membership fee for continuous due diligence by the agency partners and a % of their sales and marketing spend. 

A Comprehensive Guide to Hiring Python Engineering Teams


TABLE OF CONTENTS

Pros and Cons of Python Development


The Ultimate Guide to Python Frameworks


Should You Hire Python Freelancers or an Outsourced Python Team


Hiring Python Developers—Best Practices & Job Description Template


How to Interview a Python Developer and What to Look for


The Do’s and Don’ts of Managing an Outsourced Python Team


A Glimpse into the Future of Python Development


Onboarding Python Into Your Firm


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Python has remained one of the world’s most popular and productive programming languages for over the past decade. Easy to learn, highly efficient, and well-appreciated amongst both students and professionals, it’s easy to see how the language has gathered such a large following. Using it recreationally and deploying it into your business, however, are two very different tasks.

This guide and the articles that accompany it will take you through a deep dive into the Python features and functionality that make the language work well for your business.

After helping you to decide whether or not Python is the right tool for the job, we take a look at the frameworks to use that match your requirements and tackle the task of recruiting Python developers to build out your apps.

Starting with hiring and interviewing, we dive into the tips and tricks to get the most out of your recruitment processes. Outlining the initial steps of recruitment, we move on to take a look at the simple management techniques to get the most from your future teams and the role Python will play in the future of your firm.

From simple tips, tricks, and steadfast rules—our guide to hiring Python developers will get you up and running with one of the world’s most productive languages in no time at all.

And if you need help selecting the right Python developers, just tell us what you need. We can do the work for you and connect you with up to 5 companies within 72h that match your needs—all for free.

Pros and Cons of Python Development

The ease at which developers, students, and beginners can pick up Python programming can disguise just how effective the language can be in a professional setting. Python is capable of everything from internal support and tooling to global resource deployment and management. It’s useful for a great many tasks, from machine learning and data analysis to rapid prototyping and application deployment.

However, using Python in each of these roles requires care, attention, and a great deal of thought.

Amongst the advantages of the language are a select few drawbacks that could catch you out. Whether it’s high-speed performance, reliability, or testing, be sure to know what measures you might need to put in place to accommodate potential drawbacks that the language can bring.

The Pros and Cons of Python Development looks at these features in greater detail and includes some tips to help you analyse some of Python’s trickiest pitfalls.

Python has remained one of the world’s most popular and productive programming languages for over the past decade. Easy to learn, highly efficient, and well-appreciated amongst both students and professionals, it’s easy to see how the language has gathered such a large following. Using it recreationally and deploying it into your business, however, are two very different tasks.

The Ultimate Guide to Python Frameworks

The inherent productivity of the Python language can be boosted even further by using one of the many available frameworks it provides to developers. Python’s web app frameworks, in particular, deliver a lot for its engineers. Python frameworks are uniquely suited to creating applications and services at an exceptional pace.

The things you need to know to take advantage of these benefits are few, but remarkably important. The difference between full-stack, micro, and asynchronous frameworks, for example. A few examples of each, when discussing them with your teams, can help build a much clearer picture. What are the benefits and where are the drawbacks in each option? When should you use one over the other?

Covering the most popular, most productive, most reliable, and best-suited in each category, our ultimate Guide to Python Frameworks takes you through a handful of the frameworks you should consider to move your Python projects forward.

Should You Hire Python Freelancers or an Outsourced Python Team

The choice surrounding when and how to bring developers in to work on your projects is never an easy one to make. Project timing and developer schedules never quite seem to meet at exactly the same place.

A number of questions about the project often remain unresolved until very late in the day. Where will resources go as development wraps up? Will there be enough tasks for every developer? Both freelance developers and outsourced teams have pros and cons that make each worth considering.

A freelancer, for example, is ideally suited to short-term tasks. Brought in at short notice and at lower cost, they can be ideal for cash-strapped companies or those looking to implement small, discrete tasks and solutions.

An outsourced team, in comparison, adds additional experience, safety, and management onto a project. They are typically a more costly option, but one that comes with certain guarantees and security.

Choosing between the two can be done in a very methodical, logical, and verifiable manner. With just a few questions to ask of your firm’s experience, budget, and resources, you can highlight the option that will work best for you moving into the future.

Should You Hire Python Freelancers or an Outsourced Python Team dives into these questions and encourages you to ask them within your business.

Hiring Python Developers—Best Practices & Job Description Template

For all the technical challenges that come with application development, some of the most difficult and time consuming come from the challenges of hiring application developers. Some are solved simply by choosing Python as a development tool; others take more time, resources, and attention.

Python is a language that many developers are eager to work with in a wide range of roles. Both project managers and application engineers relish its highly productive and forward-looking nature and its ability to get more done with less time.

Regardless of the tools being used, hiring application engineers takes careful analysis and insightful questions to get on the right path and make the most of a firm’s available resources.

Our guide takes a close look at the logistics of hiring Python application developers and answers some important questions about how to analyse a candidate’s skills and experience for the role.

Hiring Python Developers even includes a job description template to get you started on recruiting Python developers to fill out your firm. Want even more guidance? Just tell us what you need and we can do the work for you. Within 72h we’ll connect you with up to 5 companies that match your needs—all for free!

How to Interview a Python Developer and What to Look for

Most prospective tech employees will agree that the technical interview is a universally daunting and often arduous process. Few realise, however, that it’s almost as daunting for the interviewer as it is for the candidate!

For the person conducting the interview, it’s their sole opportunity to provide an applicant with a positive impression of the company. It’s a conversation between candidate and management that goes both ways. While the candidate is aiming to provide an accurate picture of their skills and abilities, the company should also be providing an insight that shows why applicants should be willing to invest their time, skills, and talent with the firm.

To achieve all this requires a lot from a comparatively short and technical conversation. It requires careful analysis of a candidate’s skill set, their technical background, and the experience they hold in various libraries and frameworks supported by the language.

Our guide on How to Interview a Python Developer and What to Look For provides a complete primer on effectively interviewing the ideal Python developer and how to identify them from the crowd when you do.

Python has remained one of the world’s most popular and productive programming languages for over the past decade. Easy to learn, highly efficient, and well-appreciated amongst both students and professionals, it’s easy to see how the language has gathered such a large following. Using it recreationally and deploying it into your business, however, are two very different tasks.

The Do’s and Don’ts of Managing an Outsourced Python Team

Managing an outsourced team—to many—feels like a new and almost alien challenge. With time-zone changes, communication differences, and potentially conflicting working practices, even experienced managers can feel underprepared dealing with remote management. In reality, though, very little about the task is truly new or unique.

In practise, Outsourced team management and ‘conventional’ team management are the same roles. The few differences that do exist, in the tools and resources you use to communicate, are less significant today than they’ve ever been in the past. Most, such as instant messengers and screen-sharing tools, will be in use within most companies already.

The advantages of outsourced teams, however, have never been more significant than they are in application development today.

Additional pace, self-reliance, formalised processes, and project management are amongst the benefits that outsourced teams can bring to a business.

Unlocking these advantages is about following a simple set of guidelines and rules to get the most out of such teams. Most of them are already practised internally too.

Diving deep into these guidelines The Do’s and Don’ts of Managing an Outsourced Python Team contains the best practices you should follow to take advantage of remote teams within your company.

A Glimpse into the Future of Python Development

One of the most remarkable aspects of Python is that it has continued to grow year-on-year for many years in succession. Today, Python is one of the most popular and powerful general-purpose languages available.

Python has remained so strong because, during this time, it has continued to innovate and improve every single year. With one eye on the future, Python has undergone some impressive, bold, and comprehensive changes that have kept it highly relevant in software engineering discussions today.

Taking a look at these changes and what they mean for the future of Python development A Glimpse Into the Future of Python Engineering can keep you on top of the direction the language is taking well into the future!

Onboarding Python Into Your Firm

Despite being around since the early 2000s, Python continues to influence the shape and direction of software development. If it’s not a language already shaping things in your business, perhaps it’s time for Python to play a much larger role.

With some consideration to the advantages and drawbacks, some thoughts about the frameworks to employ and the developers to hire, bringing Python in as a prominent technology for your development teams has never been easier than it is today!

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